A health services company in New Jersey is actively seeking an AI Engineer for a Senior-level role on its growing team. In this role, the Sr. AI Engineer will be responsible for designing and implementing AI solutions within the organization's technology group, completing specific projects across a potentially wide set of AI and full-stack development technologies.
About the Opportunity:
- Assignment Length: Contract
- Schedule: Monday to Friday
- Hours: Standard business (EST hours)
- Setting: Hybrid (must be in the Tri-State area; only exceptional candidates will be considered for Remote work)
Responsibilities:
- Develop new AI modules for both internal systems and market-facing software products
- Contribute to patterns and system designs, write code, and participate in code reviews
- Contribute to the company's platform by suggesting and implementing AI-based enhancements to existing frameworks, tools, and processes
- Act as an internal AI advocate, providing training and mentorship to software engineers on AI technologies and methodologies
- Work closely with senior engineers to understand and work on assigned projects
- Participate in the full SDLC, including design sessions, project estimation, iterative development, and unit testing
- Perform other duties, as needed
Qualifications:
- 3+ years of experience working AI Technologies
- Bachelor's or Master's Degree in Computer Science, Information Systems, and/or related field
- Experience building AI automations or agentic applications that can plan, call tools/APIs, and execute multi-step tasks with human-in-the-loop controls when needed
- Experience with Cloud technologies, particularly AWS services used to operationalize automation and agent workflows (e.g., Bedrock, Lambda, Step Functions, SQS/SNS, API Gateway) and related observability practices
- Experience with frontend frameworks such as Next.js or React
- Proficiency in Python (and/or similar languages)
- Extensive experience using modern development environments and AI-driven coding tools such as Cursor, GitHub Copilot, or Q developer
- Experience integrating agents with enterprise systems and tools (APIs, data sources, ticketing/work management, knowledge bases)
- Exposure to object-oriented programming languages, databases, and multi-tier application development
- Workflow automation and orchestration skills (e.g., AWS Step Functions, Lambda, EventBridge, SQS/SNS; designing reliable multi-step processes with state, retry, idempotency, scheduling, and human-in-the-loop approvals)
Desired Qualifications:
- Event-driven architecture experience, including designing with events/queues and asynchronous workflows
- Familiarity with event sourcing patterns and designing for replay/idempotency (e.g., AWS EventBridge, SNS/SQS)
- Strong systems integration skills (REST/GraphQL APIs, webhooks, queues, service-to-service auth)
- Operational excellence for automation: testing strategies, automated evaluation, monitoring/alerting, logging/tracing, and cost/latency management (e.g., Azure DevOps for CI/CD pipelines; AWS CloudWatch for logs, traces, alarms, and dashboards)
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